Journal: NeuroImage

Article Title: Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging

doi: 10.1016/j.neuroimage.2018.08.068

Figure Lengend Snippet: Whole-Brain fiber tracking methods implemented in Lead-DBS. Of note, the tensor based method is implemented for debugging purposes and not recommended for actual use.

Article Snippet: After calculating results with Lead Connectome Mapper (last box), results may be used to predict clinical outcome using the Lead Predict tool (not shown) based on a model described in ( Horn et al.,2017c ). table ft1 table-wrap mode="anchored" t5 Table 1: caption a7 Software / Method Name Used for MR to MR Used for CT to MR Publication(s) ANTs Rigid / Affine + + Ashburner et al. 2007 BRAINSFIT + + Johnson et al. 2007 SPM Co-register + − Friston et al. 2004 FSL FLIRT + − Jenkinson et al. 2002 Hybrid SPM & ANTs, Hybrid SPM & FSL, Hybrid SPM & BRAINSFIT + − see above Open in a separate window Linear registration methods implemented in Lead-DBS. table ft1 table-wrap mode="anchored" t5 Table 4: caption a7 Tool name Software Approach Support of Single/Multishell Data Publication(s) Gibbs’ Tracker DTI & Fibertools for SPM Global Tractography Single-Shell Kreher et al. 2008 , Reisert et al. 2011 Model-Free Mesotracker DTI & Fibertools for SPM Mesoscopic Global Tractography Both Reisert et al. 2014 , Konopleva et al. 2018 Generalized q-Sampling Imaging DSI Studio Deterministic Tractography Both Yeh et al. 2010 DTI / FACT Tracking DTI & Fiber Tracking for Matlab Tensor based Deterministic Tractography Single-Shell Dirk-Jan Kroon / Matlab File Exchange Open in a separate window Whole-Brain fiber tracking methods implemented in Lead-DBS.

Techniques: Software, Imaging